finelybook
AI for a Just World
Author(s): Christo El Morr (Editor), Rachel da Silveira Gorman (Editor), Elham Dolatabadi (Editor), Laleh Seyyed-Kalantari (Editor)
- Publisher Finelybook 出版社: Chapman and Hall/CRC
- Publication Date 出版日期: July 13, 2026
- Edition 版本: 1st
- Language 语言: English
- Print length 页数: 360 pages
- ISBN-10: 1041236972
- ISBN-13: 9781041236979
Book Description
AI for a Just World: Power, Liberation, and the People Left Behind examines how contemporary artificial intelligence (AI) systems are reshaping social, political, and economic life and how prevailing narratives of neutrality and efficiency obscure their unequal consequences. Bringing together critical scholarship from across disciplines, this book investigates how AI redistributes power, produces new forms of exclusion, and reconfigures longstanding structures of inequality.
Across health, education, borders, labor, warfare, governance, and everyday life, contributors show how AI systems can reproduce racialized, gendered, colonial, and ableist logics while presenting these outcomes as technical objectivity. Rather than treating bias as a technical flaw to be fixed, the chapters approach AI as a socio-technical project embedded in histories of capitalism, colonial modernity, and state power, with Disability Justice as a key lens throughout this volume. Through empirical case studies, theoretical interventions, and accounts grounded in marginalized communities, this book develops concepts such as algorithmic violence, epistemic injustice, data colonialism, disability evasion, and technocolonialism. It also moves beyond critique to explore possibilities for resistance, refusal, and alternative futures, highlighting approaches rooted in relational accountability, Indigenous data sovereignty, feminist political economy, and collective care.
This volume will be of interest to scholars, graduate students, and advanced practitioners working in critical AI studies, science and technology studies, health policy, political science, sociology, education, law, and digital ethics. It will also appeal to policymakers, activists, and technologists seeking rigorous, justice-oriented frameworks for understanding and contesting the social impacts of AI.
Editorial Reviews
Editorial Reviews
About the Author
Christo El Morr,PhD, is Professor of Health Informatics and Director of the Centre for Feminist Research at York University, Toronto. His Equity Informatics research spans equity AI, patient-centered virtual care, mental health, global health promotion, and disability rights monitoring. He is also a theologian, poet, and novelist.
Rachel da Silveira Gorman, PhD, is Professor and Director of the Graduate Program in Critical Disability Studies at York University. Gorman’s current projects focus on codesign and community-based AI applications; biochemical and cellular mechanisms of health inequity; social movement learning in the context of AI and data justice; and metabolizing collective fear through poetry.
Elham Dolatabadi, PhD, is an Assistant Professor and Tier-2 Connected Minds York Research Chair in Safe AI for Health Equity at York University, and a faculty affiliate at the Vector Institute. Her contributions to date have advanced the design of AI systems that collaborate with humans in high-stakes health decision-making through agentic designs, multimodal representations, reasoning, orchestration mechanisms, and novel evaluation frameworks.
Laleh Seyyed-Kalantari, PhD, is an Assistant Professor at York University’s Lassonde School of Engineering and a faculty affiliate at the Vector Institute. She leads the ResponsibleAI Lab, focusing on AI safety, bias, and interpretability, using generative and foundation models to promote equitable, culturally aware AI across health and societal domains.
